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57 Results Found

  • Article
  • Open Access
2 Citations
2,166 Views
12 Pages

This study provides additional context to the literature regarding the social inequities that impact birth outcomes in Virginia using a decision tree analysis. Chi-squared automatic interaction detection data analysis (CHAID) was performed using data...

  • Article
  • Open Access
7 Citations
3,306 Views
11 Pages

The nutrition facts table is a nutrition labeling tool designed to inform consumers of food nutritional contents and enable them to make healthier choices by comparing the nutritional values of similar foods. However, its adoption level is considerab...

  • Article
  • Open Access
21 Citations
9,065 Views
25 Pages

The goal of the paper is to present the framework for combining clustering and classification for churn management in telecommunications. Considering the value of market segmentation, we propose a three-stage approach to explain and predict the churn...

(This article belongs to the Special Issue Trends in Information Technology)
  • Article
  • Open Access
1,290 Views
15 Pages

Prevalence and Risk Factors of Aphthous Ulcers Following Periodontal Surgery: A Cross-Sectional Analysis

  • Sultan Albeshri,
  • Raed Alrowis,
  • Nouf AlAkeel,
  • Mazen Almobarki and ,
  • Ibrahim S. Alsanie and
  • Razan Alaqeely
  • + 1 author+ 0 author

15 March 2026

Background/Objectives: This study aimed to determine the prevalence of aphthous ulcers following periodontal surgery and to identify demographic, behavioral, and clinical predictors of ulcer history before surgery and ulcer development after surgery....

(This article belongs to the Section Dentistry, Oral Surgery and Oral Medicine)
  • Article
  • Open Access
13 Citations
8,575 Views
18 Pages

Are Double-Lane Roundabouts Safe Enough? A CHAID Analysis of Unsafe Driving Behaviors

  • Giulia Pulvirenti,
  • Natalia Distefano,
  • Salvatore Leonardi and
  • Tomaz Tollazzi

8 March 2021

This study investigated the nature and causes of unsafe driving behavior at roundabouts through an on-road study. Four urban double-lane roundabouts with different layouts were selected for an on-road study. Sixty-six drivers (41 males and 25 females...

(This article belongs to the Special Issue Sustainable and Safe Road Design)
  • Article
  • Open Access
154 Citations
9,573 Views
24 Pages

Coronary Artery Disease Diagnosis; Ranking the Significant Features Using a Random Trees Model

  • Javad Hassannataj Joloudari,
  • Edris Hassannataj Joloudari,
  • Hamid Saadatfar,
  • Mohammad Ghasemigol and ,
  • Seyyed Mohammad Razavi,
  • Amir Mosavi,
  • Narjes Nabipour,
  • Shahaboddin Shamshirband and
  • Laszlo Nadai
  • + 4 authors+ 0 author

Heart disease is one of the most common diseases in middle-aged citizens. Among the vast number of heart diseases, coronary artery disease (CAD) is considered as a common cardiovascular disease with a high death rate. The most popular tool for diagno...

(This article belongs to the Special Issue Disease Prediction, Machine Learning, and Healthcare)
  • Feature Paper
  • Review
  • Open Access
23 Citations
5,462 Views
38 Pages

The Use of Selected Machine Learning Methods in Dairy Cattle Farming: A Review

  • Wilhelm Grzesiak,
  • Daniel Zaborski,
  • Marcin Pluciński,
  • Magdalena Jędrzejczak-Silicka and ,
  • Renata Pilarczyk and
  • Piotr Sablik
  • + 1 author+ 0 author

10 July 2025

The aim of this review was to present selected machine learning (ML) algorithms used in dairy cattle farming in recent years (2020–2024). A description of ML methods (linear and logistic regression, classification and regression trees, chi-squa...

(This article belongs to the Special Issue Machine Learning Methods and Statistics in Ruminant Farming)
  • Article
  • Open Access
8 Citations
3,696 Views
14 Pages

Impact of the COVID-19 Pandemic on the Work Engagement of UK Active Employees

  • Macarena Romero-Martín,
  • Juan Gómez-Salgado,
  • Miriam Alcaide-Carrasco,
  • Lucas Rodríguez-Jiménez and ,
  • Mónica Ortega-Moreno,
  • Daniel López-López and
  • Carlos Ruiz-Frutos
  • + 2 authors+ 0 author

The objective of this investigation was to describe the work engagement perceived by UK workers during the COVID-19 pandemic. A descriptive cross-sectional study was conducted. The sample included 1085 participants, aged 18 years and older, living in...

(This article belongs to the Special Issue Direct and Indirect Effects of the Ongoing COVID-19 Pandemic on Physical and Mental Health: Second Edition)
  • Article
  • Open Access
88 Citations
16,355 Views
14 Pages

14 February 2018

This study aims to establish a rigorous and effective model to detect enterprises’ financial statements fraud for the sustainable development of enterprises and financial markets. The research period is 2004–2014 and the sample is companies listed on...

  • Article
  • Open Access
49 Citations
15,453 Views
15 Pages

Investigating Factors Influencing Students’ Engagement in Sustainable Online Education

  • Olusiji Adebola Lasekan,
  • Vengalarao Pachava,
  • Margot Teresa Godoy Pena,
  • Siva Krishna Golla and
  • Mariya Samreen Raje

12 January 2024

Due to the COVID-19 pandemic, there has been a rapid shift from traditional classroom-based education to sustainable online classrooms. This has brought attention to the importance of comprehending the intricacies of students’ engagement during...

(This article belongs to the Section Sustainable Education and Approaches)
  • Article
  • Open Access
2,170 Views
12 Pages

14 December 2023

Elevated blood pressure (EBP), hypertension (HT), and prehypertension (PHT), along with the rising prevalence of overweight/obesity in children, correlate with a heightened risk of cardiovascular complications. This study focuses on assessing the pre...

(This article belongs to the Section Pediatric Cardiology)
  • Article
  • Open Access
6 Citations
3,346 Views
8 Pages

Home advantage (HA) is the tendency for sporting teams to perform better at their home ground than away from home, it is also influenced by the crowd support, and its existence has been well established in a wide range of team sports including rugby...

(This article belongs to the Special Issue Feature Papers in Sport, Performance and Physical Fitness)
  • Article
  • Open Access
117 Citations
7,598 Views
18 Pages

A Combination of Feature Selection and Random Forest Techniques to Solve a Problem Related to Blast-Induced Ground Vibration

  • Hong Zhang,
  • Jian Zhou,
  • Danial Jahed Armaghani,
  • M. M. Tahir and ,
  • Binh Thai Pham and
  • Van Van Huynh
  • + 1 author+ 0 author

27 January 2020

In mining and civil engineering applications, a reliable and proper analysis of ground vibration due to quarry blasting is an extremely important task. While advances in machine learning led to numerous powerful regression models, the usefulness of t...

(This article belongs to the Special Issue Meta-heuristic Algorithms in Engineering)
  • Article
  • Open Access
412 Views
20 Pages

Geometric Threshold Effects on Motorcyclists’ Risky Behaviours at Roundabouts Using CHAID and Regression

  • Fung Yun Chong,
  • Choon Wah Yuen,
  • Rosilawati Binti Zainol and
  • Norfaizah Mohamad Khaidir

29 May 2026

This study examines the influence of roundabout geometric design on motorcyclists’ risky behaviours in mixed-traffic environments, where motorcycles form a dominant traffic component. While conventional safety analyses often emphasise the perfo...

(This article belongs to the Section F: Engineering and Materials)
  • Article
  • Open Access
9 Citations
5,057 Views
16 Pages

Decision Tree Modeling for Osteoporosis Screening in Postmenopausal Thai Women

  • Bunjira Makond,
  • Pornsarp Pornsawad and
  • Kittisak Thawnashom

Osteoporosis is still a serious public health issue in Thailand, particularly in postmenopausal women; meanwhile, new effective screening tools are required for rapid diagnosis. This study constructs and confirms an osteoporosis screening tool-based...

(This article belongs to the Section Health Informatics)
  • Article
  • Open Access
6 Citations
3,449 Views
38 Pages

Data Mining Approaches in Predicting Entrepreneurial Intentions Based on Internet Marketing Applications

  • Mila Krivokuća,
  • Mihalj Bakator,
  • Dragan Ćoćkalo,
  • Marijana Vidas-Bubanja and ,
  • Vesna Makitan,
  • Luka Djordjević,
  • Borivoj Novaković and
  • Stefan Ugrinov
  • + 3 authors+ 0 author

17 December 2024

Amidst the globalization of markets, there has been a continuous intensification of competitiveness between enterprises. The modern business environment has caused a shift in how business is conducted. Opportunities and challenges arise, which put a...

  • Article
  • Open Access
112 Citations
9,077 Views
16 Pages

25 September 2018

We assessed landslide susceptibility using Chi-square Automatic Interaction Detection (CHAID), exhaustive CHAID, and Quick, Unbiased, and Efficient Statistical Tree (QUEST) decision tree models in Jumunjin-eup, Gangneung-si, Korea. A total of 548 lan...

(This article belongs to the Special Issue Selected Papers from the “International Symposium on Remote Sensing 2018”)
  • Article
  • Open Access
5 Citations
3,948 Views
26 Pages

This study evaluated the effects of COVID-19 on attitudes toward residential associated with travel behavior on decisions regarding future relocation. Chi-square automatic interaction detection was used to generate tree and classification segments to...

  • Article
  • Open Access
28 Citations
5,954 Views
12 Pages

A Risk Prediction Flowchart of Vancomycin-Induced Acute Kidney Injury to Use When Starting Vancomycin Administration: A Multicenter Retrospective Study

  • Takayuki Miyai,
  • Shungo Imai,
  • Hitoshi Kashiwagi,
  • Yuki Sato and ,
  • Shota Kadomura,
  • Kenji Yoshida,
  • Eri Yoshimura,
  • Toshiaki Teraya,
  • Takashi Tsujimoto and
  • Mitsuru Sugawara
  • + 10 authors+ 5 authors

18 December 2020

We previously constructed a risk prediction model of vancomycin (VCM)-associated nephrotoxicity for use when performing initial therapeutic drug monitoring (TDM), using decision tree analysis. However, we could not build a model to be used at the tim...

  • Article
  • Open Access
5 Citations
3,081 Views
16 Pages

Data-Mining Methodology to Improve the Scientific Production Quality in Turkey Meat and Carcass Characterization Studies

  • José Ignacio Salgado Pardo,
  • Francisco Javier Navas González,
  • Antonio González Ariza,
  • José Manuel León Jurado and ,
  • Nuno Carolino,
  • Inês Carolino,
  • Juan Vicente Delgado Bermejo and
  • María Esperanza Camacho Vallejo
  • + 3 authors+ 0 author

19 July 2024

The present research aims to describe how turkey meat and carcass quality traits define the interest of the scientific community through the quality standards of journals in which studies are published. To this end, an analysis of 92 research documen...

(This article belongs to the Special Issue Enhancing Product Excellence in Poultry: Key Factors Influencing Egg and Meat Quality)
  • Article
  • Open Access
4 Citations
2,007 Views
16 Pages

Effect of Supplementation of a Cryopreservation Extender with Pectoliv30 on Post-Thawing Semen Quality Parameters in Rooster Species

  • Esther Díaz Ruiz,
  • Juan Vicente Delgado Bermejo,
  • José Manuel León Jurado,
  • Francisco Javier Navas González and ,
  • Ander Arando Arbulu,
  • Juan Fernández-Bolaños Guzmán,
  • Alejandra Bermúdez Oria and
  • Antonio González Ariza
  • + 3 authors+ 0 author

21 August 2024

Sperm cryopreservation is a fundamental tool for the conservation of avian genetic resources; however, avian spermatozoa are susceptible to this process. To cope with the high production of reactive oxygen species (ROS), the addition of exogenous ant...

(This article belongs to the Special Issue Antioxidant Properties and Applications of Food By-Products)
  • Article
  • Open Access
36 Citations
7,012 Views
10 Pages

Performance Analysis of the CHAID Algorithm for Accuracy

  • Yeling Yang,
  • Feng Yi,
  • Chuancheng Deng and
  • Guang Sun

2 June 2023

The chi-squared automatic interaction detector (CHAID) algorithm is considered to be one of the most used supervised learning methods as it is adaptable to solving any kind of problem at hand. We are keenly aware of the non-linear relationships among...

(This article belongs to the Special Issue Advances in Computer Vision and Machine Learning)
  • Article
  • Open Access
18 Citations
5,759 Views
19 Pages

Variability of Meat and Carcass Quality from Worldwide Native Chicken Breeds

  • Antonio González Ariza,
  • Francisco Javier Navas González,
  • Ander Arando Arbulu,
  • José Manuel León Jurado and ,
  • Juan Vicente Delgado Bermejo and
  • María Esperanza Camacho Vallejo
  • + 1 author+ 0 author

9 June 2022

The present research aimed to determine the differential clustering patterns of carcass and meat quality traits in local chicken breeds from around the world and to develop a method to productively characterize minority bird populations. For this, a...

(This article belongs to the Special Issue Sensory and Quality Assessments of Foods of Animal Origin)
  • Article
  • Open Access
3 Citations
3,488 Views
13 Pages

New Simplified Diagnostic Decision Trees for the Detention of Metabolic Syndrome in the Elderly

  • Enrique Rodríguez-Guerrero,
  • Manuel Romero-Saldaña,
  • Azahara Fernández-Carbonell,
  • Rafael Molina-Luque and
  • Guillermo Molina-Recio

Background: A new simplified method for the detention of metabolic syndrome (MetS) is proposed using two variables (anthropometric and minimally invasive). Methods: A study of MetS prevalence was made on a sample of 361 older people. The anthropometr...

(This article belongs to the Section Health Behavior, Chronic Disease and Health Promotion)
  • Article
  • Open Access
50 Citations
5,357 Views
17 Pages

Prediction of Peak Particle Velocity Caused by Blasting through the Combinations of Boosted-CHAID and SVM Models with Various Kernels

  • Jie Zeng,
  • Panayiotis C. Roussis,
  • Ahmed Salih Mohammed,
  • Chrysanthos Maraveas and ,
  • Seyed Alireza Fatemi,
  • Danial Jahed Armaghani and
  • Panagiotis G. Asteris
  • + 2 authors+ 0 author

20 April 2021

This research examines the feasibility of hybridizing boosted Chi-Squared Automatic Interaction Detection (CHAID) with different kernels of support vector machine (SVM) techniques for the prediction of the peak particle velocity (PPV) induced by quar...

(This article belongs to the Collection Heuristic Algorithms in Engineering and Applied Sciences)
  • Article
  • Open Access
673 Views
27 Pages

26 June 2026

Physical activity (PA) participation among university women is influenced by behavioural, psychosocial, and contextual factors. This study aimed to identify hierarchical profiles associated with PA participation using exploratory segmentation methods...

(This article belongs to the Special Issue Integrating Biopsychosocial Influences on Women’s Nutrition and Physical Exercise for Enhanced Wellbeing)
  • Article
  • Open Access
13 Citations
3,502 Views
21 Pages

Data Mining as a Tool to Infer Chicken Carcass and Meat Cut Quality from Autochthonous Genotypes

  • Antonio González Ariza,
  • Francisco Javier Navas González,
  • José Manuel León Jurado,
  • Ander Arando Arbulu and ,
  • Juan Vicente Delgado Bermejo and
  • María Esperanza Camacho Vallejo
  • + 1 author+ 0 author

8 October 2022

The present research aims to develop a carcass quality characterization methodology for minority chicken populations. The clustering patterns described across local chicken genotypes by the meat cuts from the carcass were evaluated via a comprehensiv...

(This article belongs to the Special Issue Sustainability Biodiversity and Welfare of Poultry and Rabbit in Alternative Productions)
  • Article
  • Open Access
10 Citations
2,979 Views
13 Pages

Steroid Resistance Associated with High MIF and P-gp Serum Levels in SLE Patients

  • Alberto Beltrán-Ramírez,
  • José Francisco Muñoz-Valle,
  • Jorge I. Gamez-Nava,
  • Ana Miriam Saldaña-Cruz and ,
  • Laura Gonzalez-Lopez,
  • Alejandro Padilla-Ortega,
  • Francisco I. Arias-García,
  • Gabriela Athziri Sánchez-Zuno,
  • Cesar Arturo Nava-Valdivia and
  • Edsaúl Emilio Perez-Guerrero
  • + 7 authors+ 2 authors

10 October 2022

Approximately 30% of patients with systemic lupus erythematosus (SLE) present steroid resistance (SR). Macrophage migration inhibition factor (MIF) and P-glycoprotein (P-gp) could be related to SR. This work aims to evaluate the relationship between...

(This article belongs to the Section Medicinal Chemistry)
  • Article
  • Open Access
3 Citations
3,624 Views
21 Pages

27 December 2024

Land consolidation is a pivotal element in rural settlement planning globally and specifically in Turkey. Evaluating the efficacy of land consolidation initiatives and incorporating diverse approaches in distinct countries and regions are imperative....

  • Article
  • Open Access
13 Citations
4,770 Views
16 Pages

Effect of Ball Screen and One-on-One on the Level of Opposition and Effectiveness of Shots in the ACB

  • Jorge Serna,
  • Verónica Muñoz-Arroyave,
  • Jaume March-Llanes,
  • M. Teresa Anguera and ,
  • Queralt Prat,
  • Aaron Rillo-Albert,
  • David Falcón and
  • Pere Lavega-Burgués
  • + 3 authors+ 0 author

In light of the importance of shots on the final result in basketball matches, this research aims to reveal the predictive ability of variables associated with different game actions (ball screen, one-on-one near the basket and one-on-one far away fr...

(This article belongs to the Special Issue New Trends in Research on Training, Performance, Conditioning, Coaching, Evaluation and Health in Basketball)
  • Article
  • Open Access
27 Citations
4,734 Views
17 Pages

23 August 2019

The time resolution and prediction accuracy of the power generated by building-integrated photovoltaics are important for managing electricity demand and formulating a strategy to trade power with the grid. This study presents a novel approach to imp...

(This article belongs to the Special Issue Electricity for Energy Transition)
  • Article
  • Open Access
74 Citations
17,315 Views
14 Pages

Machine Learning to Develop Credit Card Customer Churn Prediction

  • Dana AL-Najjar,
  • Nadia Al-Rousan and
  • Hazem AL-Najjar

The credit card customer churn rate is the percentage of a bank’s customers that stop using that bank’s services. Hence, developing a prediction model to predict the expected status for the customers will generate an early alert for banks...

(This article belongs to the Topic Artificial Intelligence Applications in Financial Technology)
  • Article
  • Open Access
19 Citations
7,681 Views
19 Pages

Perceptions Underlying Addictive Technology Use Patterns: Insights for Cognitive-Behavioural Therapy

  • Olatz Lopez-Fernandez,
  • Lucia Romo,
  • Laurence Kern,
  • Amélie Rousseau and ,
  • Pierluigi Graziani,
  • Lucien Rochat,
  • Sophia Achab,
  • Daniele Zullino,
  • Nils Inge Landrø and
  • Daria J. Kuss
  • + 10 authors+ 5 authors

Cognitive-Behavioural Therapy (CBT) is considered the ‘gold standard’ in the treatment of addictive disorders related to excessive technology use. However, the cognitive components of problematic internet use are not yet well-known. The a...

  • Article
  • Open Access
232 Citations
12,464 Views
19 Pages

Supervised Machine Learning Techniques to the Prediction of Tunnel Boring Machine Penetration Rate

  • Hai Xu,
  • Jian Zhou,
  • Panagiotis G. Asteris,
  • Danial Jahed Armaghani and
  • Mahmood Md Tahir

6 September 2019

Predicting the penetration rate is a complex and challenging task due to the interaction between the tunnel boring machine (TBM) and the rock mass. Many studies highlight the use of empirical and theoretical techniques in predicting TBM performance....

(This article belongs to the Special Issue Meta-heuristic Algorithms in Engineering)
  • Review
  • Open Access
15 Citations
2,501 Views
18 Pages

Methodological Review of Classification Trees for Risk Stratification: An Application Example in the Obesity Paradox

  • Javier Trujillano,
  • Luis Serviá,
  • Mariona Badia,
  • José C. E. Serrano and ,
  • María Luisa Bordejé-Laguna,
  • Carol Lorencio,
  • Clara Vaquerizo,
  • José Luis Flordelis-Lasierra,
  • Itziar Martínez de Lagrán and
  • Juan Carlos López-Delgado
  • + 6 authors+ 1 author

31 May 2025

Background: Classification trees (CTs) are widely used machine learning algorithms with growing applications in clinical research, especially for risk stratification. Their ability to generate interpretable decision rules makes them attractive to hea...

(This article belongs to the Section Nutrition Methodology & Assessment)
  • Article
  • Open Access
4 Citations
7,989 Views
23 Pages

14 December 2024

The number of traffic accidents in a region rises as the vehicle–km value in traffic increases. Furthermore, since automobiles make up the highest proportion of vehicles in traffic, they represent the greatest weight in traffic accidents. This...

(This article belongs to the Special Issue Applications of Artificial Intelligence in Transportation Engineering)
  • Article
  • Open Access
13 Citations
5,012 Views
21 Pages

Machine Learning Classifiers for Modeling Soil Characteristics by Geophysics Investigations: A Comparative Study

  • Chee Soon Lim,
  • Edy Tonnizam Mohamad,
  • Mohammad Reza Motahari,
  • Danial Jahed Armaghani and
  • Rosli Saad

19 August 2020

To design geotechnical structures efficiently, it is important to examine soil’s physical properties. Therefore, classifying soil with respect to geophysical parameters is an advantageous and popular approach. Novel, quick, cost, and time effec...

(This article belongs to the Collection Heuristic Algorithms in Engineering and Applied Sciences)
  • Article
  • Open Access
29 Citations
4,163 Views
28 Pages

Generation of Hydro Energy by Using Data Mining Algorithm for Cascaded Hydropower Plant

  • Iram Parvez,
  • Jianjian Shen,
  • Ishitaq Hassan and
  • Nannan Zhang

7 January 2021

The thirst of the Earth for energy is lurching towards catastrophe in an era of increasing water shortage where most of the power plants are hydroelectric. The hydro-based power systems are facing challenges in determining day-ahead generation schedu...

(This article belongs to the Special Issue Role of Hydropower for Sustainable Future Energy System: Synergies, Challenges and Development)
  • Article
  • Open Access
8 Citations
3,493 Views
18 Pages

Evaluation of Tooth Movement Accuracy with the F22 Aligner System: A Retrospective Study

  • Palone Mario,
  • Silvia Squeo de Villagomez,
  • Pellitteri Federica,
  • Francesca Cremonini and ,
  • Renato Salvatore and
  • Luca Lombardo
  • + 1 author+ 0 author

18 February 2024

Background: To investigate the accuracy of an F22 Aligner system, considering the amount of prescribed movement, tooth type, grip points, sex and age. Methods: Digital models of 120 patients (64 females and 56 males; mean age 35.2 years ± 7.4)...

(This article belongs to the Section Applied Dentistry and Oral Sciences)
  • Article
  • Open Access
536 Views
23 Pages

Roundabout Geometry and Risky Motorcyclist Behaviour: Identifying Critical Design Thresholds for Safer Road Infrastructure

  • Fung Yun Chong,
  • Choon Wah Yuen,
  • Rosilawati Binti Zainol and
  • Norfaizah Mohamad Khaidir

21 July 2026

Motorcyclists are among the most vulnerable road users at roundabouts, particularly in mixed-traffic environments where rider behaviour may be influenced by geometric design. This study investigates the association between roundabout geometry and ris...

(This article belongs to the Collection Accident Prevention and Risk Management for Safe and Sustainable Transportation)
  • Article
  • Open Access
12 Citations
11,990 Views
10 Pages

Risk of Pre-Malignancy or Malignancy in Postmenopausal Endometrial Polyps: A CHAID Decision Tree Analysis

  • Michael Wong,
  • Nikolaos Thanatsis,
  • Federica Nardelli,
  • Tejal Amin and
  • Davor Jurkovic

Background and aims: Postmenopausal endometrial polyps are commonly managed by surgical resection; however, expectant management may be considered for some women due to the presence of medical co-morbidities, failed hysteroscopies or patient’s prefer...

(This article belongs to the Special Issue Imaging of Gynecological Disease)
  • Article
  • Open Access
6 Citations
1,975 Views
19 Pages

Discriminant Analysis and Data Mining CHAID Decision Tree as Tools to Evaluate the Buffering Effect of Hydroxytyrosol on Reactive Oxygen Species in Rooster Sperm Cryopreservation

  • Esther Díaz Ruiz,
  • Antonio González Ariza,
  • José Manuel León Jurado,
  • Ander Arando Arbulu and ,
  • Alejandra Bermúdez Oria,
  • África Fernández Prior,
  • Juan Vicente Delgado Bermejo and
  • Francisco Javier Navas González
  • + 3 authors+ 0 author

2 October 2023

Sperm cryopreservation is effective in safeguarding genetic biodiversity in avian species. However, during this process, spermatozoa are very susceptible to plasma membrane peroxidation in the presence of high concentrations of reactive oxygen specie...

(This article belongs to the Section Animal Genetics and Genomics)
  • Article
  • Open Access
63 Citations
5,164 Views
22 Pages

Classification-Based Regression Models for Prediction of the Mechanical Properties of Roller-Compacted Concrete Pavement

  • Ali Ashrafian,
  • Mohammad Javad Taheri Amiri,
  • Parisa Masoumi,
  • Mahsa Asadi-shiadeh and ,
  • Mojtaba Yaghoubi-chenari,
  • Amir Mosavi and
  • Narjes Nabipour
  • + 2 authors+ 0 author

27 May 2020

In the field of pavement engineering, the determination of the mechanical characteristics is one of the essential processes for reliable material design and highway sustainability. Early determination of the mechanical characteristics of pavement is...

(This article belongs to the Special Issue Short-Term Forecasting in Civil Engineering with Multidisciplinary Approaches: Combined Numerical, Experimental and Statistical Methods)
  • Article
  • Open Access
14 Citations
3,458 Views
9 Pages

Early Detection of Inflammation-Prone STEMI Patients Using the CRP Troponin Test (CTT)

  • Rafael Y. Brzezinski,
  • Ariel Melloul,
  • Shlomo Berliner,
  • Ilana Goldiner and ,
  • Moshe Stark,
  • Ori Rogowski,
  • Shmuel Banai,
  • Shani Shenhar-Tsarfaty and
  • Yacov Shacham
  • + 4 authors+ 0 author

27 April 2022

Elevated concentrations of C-reactive protein (CRP) early during an acute coronary syndrome (ACS) may reflect the magnitude of the inflammatory response to myocardial damage and are associated with worse outcome. However, the routine measurement of b...

(This article belongs to the Special Issue C-Reactive Protein and Cardiovascular Disease: Clinical Aspects)
  • Article
  • Open Access
6 Citations
2,823 Views
28 Pages

Modified Meta Heuristic BAT with ML Classifiers for Detection of Autism Spectrum Disorder

  • Mohemmed Sha,
  • Abdullah Alqahtani,
  • Shtwai Alsubai and
  • Ashit Kumar Dutta

29 December 2023

ASD (autism spectrum disorder) is a complex developmental and neurological disorder that impacts the social life of the affected person by disturbing their capability for interaction and communication. As it is a behavioural disorder, early treatment...

(This article belongs to the Section Bioinformatics and Systems Biology)
  • Communication
  • Open Access
14 Citations
3,974 Views
12 Pages

Synergistic Effect of Static Compliance and D-dimers to Predict Outcome of Patients with COVID-19-ARDS: A Prospective Multicenter Study

  • Tommaso Tonetti,
  • Giacomo Grasselli,
  • Paola Rucci,
  • Francesco Alessandri and ,
  • Alessio Dell’Olio,
  • Annalisa Boscolo,
  • Laura Pasin,
  • Nicolò Sella,
  • Chiara Mega and
  • Vito Marco Ranieri
  • + 23 authors+ 18 authors

15 September 2021

The synergic combination of D-dimer (as proxy of thrombotic/vascular injury) and static compliance (as proxy of parenchymal injury) in predicting mortality in COVID-19-ARDS has not been systematically evaluated. The objective is to determine whether...

(This article belongs to the Special Issue Bacterial and Viral Infection and Sepsis: From Pathogenesis to Therapeutic Strategies)
  • Article
  • Open Access
38 Citations
7,962 Views
29 Pages

A Combination of Multilayer Perceptron, Radial Basis Function Artificial Neural Networks and Machine Learning Image Segmentation for the Dimension Reduction and the Prognosis Assessment of Diffuse Large B-Cell Lymphoma

  • Joaquim Carreras,
  • Yara Yukie Kikuti,
  • Masashi Miyaoka,
  • Shinichiro Hiraiwa and ,
  • Sakura Tomita,
  • Haruka Ikoma,
  • Yusuke Kondo,
  • Atsushi Ito,
  • Naoya Nakamura and
  • Rifat Hamoudi
  • + 5 authors+ 0 author

8 March 2021

The prognosis of diffuse large B-cell lymphoma (DLBCL) is heterogeneous. Therefore, we aimed to highlight predictive biomarkers. First, artificial intelligence was applied into a discovery series of gene expression of 414 patients (GSE10846). A dimen...

(This article belongs to the Special Issue Frontiers in Artificial Intelligence)
  • Article
  • Open Access
3 Citations
1,773 Views
12 Pages

Background: To effectively promote physical activity (PA) participation in preschool-aged children with disabilities (PACD), a comprehensive understanding of the associated factors is necessary. Consequently, this study aims to examine the factors in...

(This article belongs to the Special Issue Physical Activity Intervention for Non-Communicable Diseases)
  • Article
  • Open Access
45 Citations
6,576 Views
24 Pages

Zinc- and Copper-Doped Mesoporous Borate Bioactive Glasses: Promising Additives for Potential Use in Skin Wound Healing Applications

  • Farzad Kermani,
  • Simin Nazarnezhad,
  • Zahra Mollaei,
  • Sahar Mollazadeh and ,
  • Alireza Ebrahimzadeh-Bideskan,
  • Vahid Reza Askari,
  • Reza Kazemi Oskuee,
  • Ali Moradi,
  • Seyede Atefe Hosseini and
  • Saeid Kargozar
  • + 7 authors+ 2 authors

In this study, zinc (Zn)- and copper (Cu)-doped 13-93B3 borate mesoporous bioactive glasses (MBGs) were successfully synthesized using nitrate precursors in the presence of Pluronic P123. We benefited from computational approaches for predicting and...

(This article belongs to the Special Issue Sustainable Approaches in Skin Conditions)
  • Article
  • Open Access
24 Citations
7,177 Views
14 Pages

22 July 2019

This trial aimed to integrate metadata that spread over farm-to-fork continuum of 110 Protected Designation of Origin (PDO)Maine-Anjou cows and combine two statistical approaches that are chemometrics and supervised learning; to identify the potentia...

(This article belongs to the Special Issue Current Advances in Meat Nutritional, Sensory and Physical Quality Improvement)

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